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The impact of stock spams on volatility

  • Taoufik Bouraoui

This paper is dedicated to study the impact of stock spams through the analysis of the variations of volatility. We use the methodology of event studies on a sample of hundred ten firms. The results show positive and significant changes in volatility during 12 days of the event window; a widening of the variation [lowest price - highest price] was noticed following the consignment of messages by the spammers. The sending of stock spams affected the behaviour of investors, indicating thus that the spamming activity is a lucrative business.

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File URL: http://economix.fr/pdf/dt/2009/WP_EcoX_2009-30.pdf
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Paper provided by University of Paris West - Nanterre la Défense, EconomiX in its series EconomiX Working Papers with number 2009-30.

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Length: 26 pages
Date of creation: 2009
Date of revision:
Handle: RePEc:drm:wpaper:2009-30
Contact details of provider: Postal: 200 Avenue de la République, Bât. G - 92001 Nanterre Cedex
Web page: http://economix.fr
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  1. Giaccotto, Carmelo & Sfiridis, James M., 1996. "Hypothesis testing in event studies: The case of variance changes," Journal of Economics and Business, Elsevier, vol. 48(4), pages 349-370, October.
  2. Koski, Jennifer Lynch, 1998. "Measurement Effects and the Variance of Returns after Stock Splits and Stock Dividends," Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 143-62.
  3. Hanke, Michael & Hauser, Florian, 2008. "On the effects of stock spam e-mails," Journal of Financial Markets, Elsevier, vol. 11(1), pages 57-83, February.
  4. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
  5. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
  6. Harris, Lawrence, 1987. "Transaction Data Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(02), pages 127-141, June.
  7. Pindyck, Robert S., 1983. "Risk, inflation, and the stock market," Working papers 1423-83., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  8. Sandy Campart & Étienne Pfister, 2008. "Course technologique et valeur boursière. Une étude d'événements basée sur l'industrie pharmaceutique," Revue économique, Presses de Sciences-Po, vol. 59(2), pages 307-329.
  9. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(03), pages 269-283, September.
  10. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
  11. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
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